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researcher

E. Asma

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedTargeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 5 cited

Targeted Gradient Descent: A Novel Method for Convolutional Neural Networks Fine-tuning and Online-learning

Junyu Chen, Evren Asma, Chung Chan

A convolutional neural network (ConvNet) is usually trained and then tested using images drawn from the same distribution. To generalize a ConvNet to various tasks often requires a…

cs.CV2021

Artificial Intelligence in PET: an Industry Perspective

Arkadiusz Sitek, Sangtae Ahn, Evren Asma +6

Artificial intelligence (AI) has significant potential to positively impact and advance medical imaging, including positron emission tomography (PET) imaging applications. AI has t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.